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Materials Chemistry

Working Paper

POMFinder: Identifying polyoxometalate cluster structures from pair distribution function data using explainable machine learning

Andy S. Anker, Emil T. S. Kjær, Mikkel Juelsholt, Kirsten M. Ø. Jensen

Version 1 posted 24 August 2023

242

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1

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Materials Chemistry

Review

Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry

Andy S. Anker, Keith T. Butler, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 30 August 2023

644

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Materials Chemistry

Working Paper

Following structural changes in iridium nanoparticles during oxygen evolution electrocatalysis with operando X-ray total scattering

Rebecca Pittkowski, Stefanie Punke, Andy S. Anker, Aline Bornet, Nicolas Magnard, Nicolas Schlegel, Marta Mirolo, Jakub Drnec, Jacob J. K. Kirkensgaard, Matthias Arenz, Kirsten M. Ø. Jensen

Version 2 posted 12 December 2023

546

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1

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Materials Science

Working Paper

Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models

Andy Sode Anker, Emil T. S. Kjær, Erik B. Dam, Simon J. L. Billinge, Kirsten M. Ø. Jensen, Raghavendra Selvan

Version 1 posted 17 July 2020

743

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6

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Materials Chemistry

Working Paper

Characterisation of intergrowth in metal oxide materials using structure-mining: the case of γ-MnO2

Nicolas Magnard, Andy S. Anker, Andrea Kirsch, Kirsten M. Ø. Jensen

Version 1 posted 05 July 2022

373

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Materials Chemistry

Working Paper

Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning

Andy S. Anker, Emil T. S. Kjær, Mikkel Juelsholt, Troels Lindahl Christiansen, Susanne Linn Skjærvø, Mads Ry Vogel Jørgensen, Innokenty Kantor, Daniel Risskov Sørensen, Simon J. L. Billinge, Raghavendra Selvan, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 25 April 2022

373

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Materials Chemistry

Working Paper

Atomic structural changes in the formation of transition metal tungstates: The role of polyoxometalate structures in material crystallization

Susanne Linn Skjærvø, Andy S. Anker, Magnus C. Wied, Emil T. S. Kjær, Mikkel Juelsholt, Troels Lindahl Christiansen, Kirsten Marie Ørnsbjerg Jensen

Version 1 posted 05 August 2022

327

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Materials Chemistry

Working Paper

Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data

Andy S. Anker, Keith T. Butler, Manh Duc Le, Toby G. Perring, Jeyan Thiyagalingam

Version 1 posted 21 December 2022

272

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Materials Chemistry

Working Paper

A Reproducible and Scalable Method for Producing Fluorescent Polystyrene Nanoparticles

Dávid Bartoš, Lu Wang, Andy S. Anker, Morten Rewers, Olivia Aalling-Frederiksen, Kirsten Marie Ørnsbjerg Jensen, Thomas Just Sørensen

Version 1 posted 28 June 2021

614

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9 results in Andy S. Anker in Authors: Andy S. Anker

POMFinder: Identifying polyoxometalate cluster structures from pair distribution function data using explainable machine learning

Machine Learning for Analysis of Experimental Scattering and Spectroscopy Data in Materials Chemistry

Following structural changes in iridium nanoparticles during oxygen evolution electrocatalysis with operando X-ray total scattering

Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models

Characterisation of intergrowth in metal oxide materials using structure-mining: the case of γ-MnO2

Extracting Structural Motifs from Pair Distribution Function Data of Nanostructures using Explainable Machine Learning

Atomic structural changes in the formation of transition metal tungstates: The role of polyoxometalate structures in material crystallization

Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data

A Reproducible and Scalable Method for Producing Fluorescent Polystyrene Nanoparticles

9 results in Authors: Andy S. Anker